As anyone who has worked with lidar or other point cloud datasets will concur, the value of any derivative products is only as good as the quality of the original data. If your point cloud is deficient, the output data will also be subpar. Thankfully, Global Mapper’s Lidar Module offers an array of tools for improving the quality of point cloud datasets. In this live, hourlong presentation, Blue Marble application specialists will provide an overview of some of these editing and filtering tools, including:
Noise removal
Point reclassification
Vertical and horizontal adjustment
Point cloud thinning
Cropping
And much more.

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